all AI news
RadioTransformer: A Cascaded Global-Focal Transformer for Visual Attention-guided Disease Classification. (arXiv:2202.11781v1 [cs.CV])
cs.CV updates on arXiv.org arxiv.org
In this work, we present RadioTransformer, a novel visual attention-driven
transformer framework, that leverages radiologists' gaze patterns and models
their visuo-cognitive behavior for disease diagnosis on chest radiographs.
Domain experts, such as radiologists, rely on visual information for medical
image interpretation. On the other hand, deep neural networks have demonstrated
significant promise in similar tasks even where visual interpretation is
challenging. Eye-gaze tracking has been used to capture the viewing behavior of
domain experts, lending insights into the complexity of …
arxiv attention classification cv disease global transformer visual attention